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Progress in Advanced Computing and Intelligent Engineering pp 57–67Cite as

OCR-Assessment of Proposed Methodology Implications and Invention Outcomes with Graphical Representation Algorithmic Flow

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 563))

Abstract

The OCR innovative techniques are used to create digital formed text from the basic handwritten and printed text papers. Once it is converted then it can be reused for data processing and reprocessing purpose. OCR system provides the approach of reproducing the editable text-result which near to the approximated unique required digitalized page with same orientations and alignments. The OCR algorithm derives the huge set of learned letters, characters, symbols and their desirable properties. It is best suited for pattern-cum-symbolic image-based recognition and digitalizing the passive mode characters into active mode characters. These inventions are widely executing in private and public sector for various data processing purposes. In OCR, the normal page imprecise text can be processed through various recognition level stages, such as Text-Classification, Level of Pre-cum-Postprocessing, Segmented Processing and Characteristic Mining. Researchers invented the new ideas and approaches for solving critical problems in innovative OCR mechanism. This paper contains the detail descriptive assessment of proposed methods, methodologies, steps handled and invention outcomes in the discovery of optical character recognition approaches and also described graphical representation of OCR algorithmic variations with their handled steps for processing various levels of text and the flow of methodology. This descriptive graphical representation will be helpful to all upcoming researchers in the innovative OCR field. Graphical representation flow is easy to understand and simple to gain the basic important knowledge to focus in their OCR research for further innovations.

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Authors and Affiliations

  1. Computer Science Department, University College, Kakatiya University, Hanamkonda, Telangana, India

    Santosh Kumar Henge & B. Rama

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  1. Santosh Kumar Henge
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  2. B. Rama
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Correspondence to Santosh Kumar Henge .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Białystok University of Technology, Białystok, Poland

    Khalid Saeed

  2. Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

    Nabendu Chaki

  3. C.V. Raman College of Engineering, Bhubaneswar, Odisha, India

    Bibudhendu Pati

  4. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

  5. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Durga Prasad Mohapatra

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Henge, S.K., Rama, B. (2018). OCR-Assessment of Proposed Methodology Implications and Invention Outcomes with Graphical Representation Algorithmic Flow. In: Saeed, K., Chaki, N., Pati, B., Bakshi, S., Mohapatra, D. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 563. Springer, Singapore. https://doi.org/10.1007/978-981-10-6872-0_6

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  • DOI: https://doi.org/10.1007/978-981-10-6872-0_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6871-3

  • Online ISBN: 978-981-10-6872-0

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